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Geocomputation with R 1st Edition by Robin Lovelace, Jakub Nowosad, Jannes Muenchow ISBN 1138304514 9781138304512

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Geocomputation with R 1st Edition Robin Lovelace Digital Instant Download

Author(s): Robin Lovelace, Jakub Nowosad, Jannes Muenchow
ISBN(s): 9781138304512, 1138304514
Edition: 1
File Details: PDF, 46.27 MB
Year: 2019
Language: english
SKU: EB-11116986 Category: Tags: , ,

Geocomputation with R 1st Edition by Robin Lovelace, Jakub Nowosad, Jannes Muenchow – Ebook PDF Instant Download/Delivery: 1138304514, 9781138304512

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Product details:

ISBN 10: 1138304514

ISBN 13: 9781138304512 

Author: Robin Lovelace, Jakub Nowosad, Jannes Muenchow

Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data.

The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), “bridges” to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems.

Table of contents:

  1. Introduction

  2. Foundations

  3. Geographic data in R

  4. Attribute data operations

  5. Spatial data operations

  6. Geometry operations

  7. Reprojecting geographic data

  8. Geographic data I/O

  9. Extensions

  10. Making maps with R

  11. Bridges to GIS software

  12. Scripts, algorithms and functions

  13. Statistical learning

  14. Extensions

  15. Transportation

  16. Geomarketing

  17. Ecology

  18. Conclusion

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Tags: Robin Lovelace, Jakub Nowosad, Jannes Muenchow, Geocomputation, R